Who Should Attend

This course is suitable for individuals who are new to Python or looking to build a solid programming foundation, including:

• Developers new to Python
• Professionals transitioning from other programming languages
• Individuals entering data, AI, or software development roles
• Technical professionals requiring Python for automation or scripting

Prerequisites

No prior experience with Python is required.

A basic understanding of general programming concepts is helpful but not essential.

Learning Objectives

By the end of this course, participants will be able to:

• set up Python and develop a simple working application
• declare and work with core data types including strings, numbers, and dates
• use and manipulate data structures such as lists, tuples, dictionaries, and sets
• implement program logic using conditional statements and loops
• structure code using functions, classes, and modules
• read from and write to files and directories
• handle and manage exceptions and errors effectively

Course Content

Setting Up Python and Developing a Simple Application

Participants begin by setting up their environment and building their first Python application.

Topics typically include:

• setting up the Python development environment
• writing Python statements
• creating and running a Python application
• identifying and preventing common errors

Processing Simple Data Types

Participants learn how to work with Python’s fundamental data types.

Topics typically include:

• working with strings and integers
• processing decimal and floating-point values
• handling mixed number types
• performing operations on basic data types

Processing Data Structures

This section focuses on organising and manipulating collections of data.

Topics typically include:

• working with ordered data structures (lists, ranges, tuples)
• working with unordered data structures (dictionaries, sets)
• selecting appropriate structures for different use cases
• manipulating and accessing data efficiently

Writing Conditional Statements and Loops

Participants learn how to control program flow and implement logic.

Topics typically include:

• writing conditional statements
• implementing loops
• controlling execution flow
• building structured and readable logic

Structuring Code for Reuse

This section introduces techniques for building reusable and maintainable code.

Topics typically include:

• defining and calling functions
• creating and using classes
• importing and using modules
• structuring code for clarity and reuse

Processing Files and Directories

Participants learn how to interact with the file system.

Topics typically include:

• writing to text files
• reading from text files
• retrieving directory contents
• managing files and directories programmatically

Dealing with Exceptions

This section focuses on handling errors and improving program robustness.

Topics typically include:

• handling exceptions
• raising exceptions
• writing reliable and fault-tolerant code

Additional Topics

Participants are introduced to supporting concepts and best practices.

Topics include:

• key differences between Python 2 and Python 3
• Python style guidelines and coding standards
• alignment with Python Institute certification pathways

Delivery Approach

This is a hands-on, structured programme designed to build practical capability.

It includes:

• instructor-led sessions
• guided exercises and practical examples
• step-by-step development of working applications
• real-world programming scenarios

Duration

3 Days

Delivery Options

This course can be delivered as:

• a public scheduled course
• a private team programme
• virtual delivery
• on-site classroom training

Outcomes

After completing this course, participants will be able to:

• develop structured and functional Python applications
• work confidently with data types and data structures
• implement logic using conditions and loops
• write reusable code using functions, classes, and modules
• manage files and handle errors effectively
• build a strong foundation for further learning in data science, AI, or software development

Additional Notes

This course provides a strong foundation for progression into areas such as:

• data analysis and data science
• machine learning and artificial intelligence
• web development using Python frameworks
• automation and scripting

Participants will leave with a practical understanding of Python that can be applied immediately in real-world environments.